46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
from pydantic import BaseModel, Field
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from langchain.prompts.chat import ChatMessagePromptTemplate
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from configs import logger, log_verbose
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from typing import List, Tuple, Dict, Union
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class History(BaseModel):
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"""
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对话历史
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可从dict生成，如
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h = History(**{"role":"user","content":"你好"})
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也可转换为tuple，如
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h.to_msy_tuple = ("human", "你好")
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"""
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role: str = Field(...)
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content: str = Field(...)
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def to_msg_tuple(self):
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return "ai" if self.role=="assistant" else "human", self.content
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def to_msg_template(self, is_raw=True) -> ChatMessagePromptTemplate:
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role_maps = {
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"ai": "assistant",
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"human": "user",
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}
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role = role_maps.get(self.role, self.role)
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if is_raw: # 当前默认历史消息都是没有input_variable的文本。
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content = "{% raw %}" + self.content + "{% endraw %}"
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else:
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content = self.content
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return ChatMessagePromptTemplate.from_template(
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content,
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"jinja2",
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role=role,
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)
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@classmethod
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def from_data(cls, h: Union[List, Tuple, Dict]) -> "History":
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if isinstance(h, (list,tuple)) and len(h) >= 2:
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h = cls(role=h[0], content=h[1])
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elif isinstance(h, dict):
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h = cls(**h)
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return h
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